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Registro completo
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Biblioteca (s) : |
INIA Salto Grande; INIA Tacuarembó; INIA Treinta y Tres. |
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Fecha : |
21/02/2014 |
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Actualizado : |
22/02/2014 |
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Autor : |
Fernández, G.Villalba, J.Ferreira, M.Wibmer, D. |
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Título : |
Control de malezas previo a la siembra de trigo en sistemas de siembra directa |
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Fecha de publicación : |
1997 |
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Fuente / Imprenta : |
Montevideo (Uruguay): Asociación de Ingenieros Agrónomos del Uruguay, 1997. |
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Páginas : |
p. 45-51 |
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Idioma : |
Español |
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Thesagro : |
ESCARDA; SIEMBRA DIRECTA; TRIGO; URUGUAY. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 00524naa a2200169 a 4500
001 1014925
005 2014-02-22
008 1997 bl uuuu u00u1 u #d
100 1 $aFERNÁNDEZ, G.VILLALBA, J.FERREIRA, M.WIBMER, D.
245 $aControl de malezas previo a la siembra de trigo en sistemas de siembra directa
260 $c1997
300 $ap. 45-51
650 $aESCARDA
650 $aSIEMBRA DIRECTA
650 $aTRIGO
650 $aURUGUAY
773 $tMontevideo (Uruguay): Asociación de Ingenieros Agrónomos del Uruguay, 1997.
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Registro original : |
INIA Salto Grande (SG) |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
17/09/2014 |
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Actualizado : |
02/02/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
CRAIGIE, C.R.; NAVAJAS, E.A.; PURCHAS, R.W.; MALTIN, C.A.; BUNGER, L.; HOSKIN, S.O.; ROSS, D.W.; MORRIS, S.T.; ROEHE, R. |
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Afiliación : |
ELLY ANA NAVAJAS VALENTINI, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
A review of the development and use of video image analysis (VIA) for beef carcass evaluation as an alternative to the current EUROP system and other subjective systems. |
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Fecha de publicación : |
2012 |
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Fuente / Imprenta : |
Meat Science, 2012, vol.92, no.4, p.307-318. doi: https://doi.org/10.1016/j.meatsci.2012.05.028 |
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ISSN : |
0309-1740 |
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DOI : |
10.1016/j.meatsci.2012.05.028 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 22 July 2011 / Received in revised form 26 April 2012 / Accepted 31 May 2012. |
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Contenido : |
ABSTRACT.
The current EUROP beef carcass classification scheme is still largely dependent on visually assessed fatness and conformation and its purpose is to provide a common basis for the description of carcasses for use in trade, price reporting and intervention. The meat industry, however, aims for accurately predicted saleable meat yield (SMY%) to which the EUROP carcass classification shows highly variable correlations due in part to the variable distribution of fat throughout the carcass as affected by breed, sex, diet, and the level of fat trimming. Video image analysis (VIA) technology is capable of improving the precision and accuracy of SMY% prediction even for specific carcass joints and simultaneously mimics the visual assessment to comply with EU regulations on carcass classification. This review summarises the development and use of VIA for evaluation of beef carcasses and discusses the advantages and shortfalls of the technology and its application.
© 2012 Elsevier Ltd. |
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Palabras claves : |
Beef; Carcass; Classification; EUROP, yield; Grading; Video image analysis. |
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Thesagro : |
CANAL ANIMAL; GANADO VACUNO; INDUSTRIA DE LA CARNE; RENDIMIENTO; UNION EUROPEA. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 02258naa a2200385 a 4500
001 1050364
005 2022-02-02
008 2012 bl uuuu u00u1 u #d
022 $a0309-1740
024 7 $a10.1016/j.meatsci.2012.05.028$2DOI
100 1 $aCRAIGIE, C.R.
245 $aA review of the development and use of video image analysis (VIA) for beef carcass evaluation as an alternative to the current EUROP system and other subjective systems.$h[electronic resource]
260 $c2012
500 $aArticle history: Received 22 July 2011 / Received in revised form 26 April 2012 / Accepted 31 May 2012.
520 $aABSTRACT. The current EUROP beef carcass classification scheme is still largely dependent on visually assessed fatness and conformation and its purpose is to provide a common basis for the description of carcasses for use in trade, price reporting and intervention. The meat industry, however, aims for accurately predicted saleable meat yield (SMY%) to which the EUROP carcass classification shows highly variable correlations due in part to the variable distribution of fat throughout the carcass as affected by breed, sex, diet, and the level of fat trimming. Video image analysis (VIA) technology is capable of improving the precision and accuracy of SMY% prediction even for specific carcass joints and simultaneously mimics the visual assessment to comply with EU regulations on carcass classification. This review summarises the development and use of VIA for evaluation of beef carcasses and discusses the advantages and shortfalls of the technology and its application. © 2012 Elsevier Ltd.
650 $aCANAL ANIMAL
650 $aGANADO VACUNO
650 $aINDUSTRIA DE LA CARNE
650 $aRENDIMIENTO
650 $aUNION EUROPEA
653 $aBeef
653 $aCarcass
653 $aClassification
653 $aEUROP, yield
653 $aGrading
653 $aVideo image analysis
700 1 $aNAVAJAS, E.A.
700 1 $aPURCHAS, R.W.
700 1 $aMALTIN, C.A.
700 1 $aBUNGER, L.
700 1 $aHOSKIN, S.O.
700 1 $aROSS, D.W.
700 1 $aMORRIS, S.T.
700 1 $aROEHE, R.
773 $tMeat Science, 2012, vol.92, no.4, p.307-318. doi: https://doi.org/10.1016/j.meatsci.2012.05.028
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